2025 Precious Metals Market: Reflections After the Gold Storm
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2026-07-24 17:28 · 60 VIEWS · ID #5604

2025 Precious Metals Market: Reflections After the Gold Storm

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Rising Again: After the "Gold Storm" in the 2025 Precious Metals Market

Keywords: Precious Metals, Gold, Silver, Fed Rate Cut, Geopolitics, Market Volatility, Investment Risk

The 2025 financial markets will be remembered for the surge and plunge of precious metals. That year, gold and silver together climbed to historic peaks, only to stage a "high-altitude dive" at year-end, leaving investors with profound reflections and warnings. Gold, the king of safe havens across millennia, touched the $4,500/oz mark; silver, the "Cinderella" with both industrial and financial traits, posted an astonishing near-150% gain within the year. Yet just as the market reveled in the feast, a sharp correction struck unexpectedly, catching many participants off guard. This was not just a price fluctuation, but a collective manifestation of global macro changes, geopolitical tensions, industry demand restructuring, and market sentiment resonance.

I. Soaring Ahead: Historic Breakthrough Driven by Multiple Engines

Looking back at the entire year of 2025, the trajectory of precious metals was dramatic. Since early in the year, due to sluggish global economic recovery, rising geopolitical risks, and expectations of major central bank policy shifts, risk aversion flooded in like a tide, pushing massive capital into precious metals. Prices steadily climbed amid volatility, until a breakout finally occurred at the end of the year.

1. Fed Policy Shift: The Core Fuse Igniting the Rally

Liang Yonghui, Deputy General Manager of Shandong Zhaojin Gold and Silver Refining Co., Ltd., pointed out that weak U.S. economic data became the direct catalyst for this move. In November 2025, the U.S. unemployment rate rose to a multi-year high, while core CPI fell below market expectations, raising concerns of "stagflation" or recession. This rapidly intensified market expectations for multiple Fed rate cuts in 2026. Rate cut expectations directly led to a weaker dollar and lower real interest rates, significantly reducing the opportunity cost of holding non-yielding assets like gold. This was a major positive for dollar-denominated precious metals.

2. Geopolitical Risks and Portfolio Rebalancing: Dual Overlay of Safe-Haven Demand

Meanwhile, global geopolitical risks continued to ferment, from regional conflicts to trade frictions, with uncertainty hanging over markets. Capital, driven by a safe-haven instinct, accelerated into traditional refuges like gold and silver. This demand resonated with the year-end "portfolio rebalancing" cycle of asset managers. To lock in profits and reduce overall portfolio risk, fund managers tended to increase allocations to precious metals. This trend was significantly amplified at year-end, becoming a major force behind the historic price breakthrough.

3. Industrial Demand Surge: Silver's "Structural Bull Market"

Unlike gold, which is dominated by financial attributes, silver experienced a unique "structural bull" in 2025. Xia Yingying, Head of Precious Metals and New Energy Research at Nanhua Futures, believes that explosive growth in industrial demand is the core reason for silver's greater price elasticity. As global energy transition accelerates, photovoltaic installed capacity continues to expand, and AI servers' demand for highly conductive materials surges, all significantly boost silver's industrial consumption. The strong rigid industrial demand, coupled with a surge in futures delivery volumes, led to notable spot market premiums, providing solid fundamental support for silver's price surge.

II. Sudden Reversal: Profit-Taking "Flight" and the "Red Line" of Risk Control

However, extremes beget reversal, and market frenzy often accompanies risk accumulation. When market sentiment peaked, the alarm of risk management had already sounded.

On December 29, 2025, the spot silver market experienced violent fluctuations, with a single-day drop of 9.08%, and gold prices also corrected sharply. This "high-altitude dive" was not without warning. Xia Yingying noted that in the short term, it was a concentrated release of massive accumulated profit-taking triggered by a specific factor. After the strong rally within the year, many investors held substantial paper profits and had strong motives to lock in gains.

Meanwhile, a change in regulatory stance became the last straw. The Chicago Mercantile Exchange (CME) announced across-the-board increases in margin requirements for metal futures including gold and silver. Following suit, the Shanghai Futures Exchange also raised margin requirements and price limits for related products from the close of trading on December 30, 2025. These risk control measures, aimed at curbing excessive speculation and preventing systemic risk, were interpreted by the market as a "cooling signal," eventually triggering a wave of concentrated long liquidation, leading to a stampede-like price decline.

Diagram of silver price volatility and exchange risk control measures

Note: The price range shown in the diagram reflects the dramatic changes before and after the implementation of exchange risk control measures.

III. Looking Ahead: Short-Term High Volatility vs. Long-Term Allocative Value

After this storm, market participants will inevitably reassess the future path of precious metals.

In the short term, the high volatility of precious metals prices may persist. Current prices remain elevated, and any news of monetary policy easing falling short of expectations, better-than-expected economic data, or easing geopolitical tensions could trigger further profit-taking and put downward pressure on prices. For investors seeking short-term gains, this is undoubtedly a period of high risk and high speculation.

However, from a long-term perspective, the core logic supporting precious metals prices remains unchanged. Liang Yonghui believes that gold's long-term multi-factor bull logic remains solid. On one hand, the Fed's rate-cutting cycle is clear; loose monetary policy will continue to suppress real interest rates and the dollar, providing cyclical support for precious metals. On the other hand, the global central bank "gold buying spree" that began in 2022 continues. According to the World Gold Council, in October 2025 alone, central banks net purchased 53 tons of gold, up 36% month-on-month. This official reserve allocation demand forms a solid bottom for gold prices. Meanwhile, the global de-dollarization trend is gaining momentum, and geopolitical risks remain elevated, all of which will continue to enhance the strategic safe-haven value of precious metals.

Ming Ming, Chief Economist at CITIC Securities, cautioned that investors must be aware of the complexity of precious metals investing. He analyzed that factors affecting gold prices are becoming increasingly complex, but Fed monetary policy and U.S. inflation are still the core variables. For silver, its high correlation with gold, combined with stronger industrial attributes, gives it greater price elasticity. Silver's dual "industrial + financial" attribute means its investment logic needs both attention to the macro financial environment and in-depth assessment of real demand from downstream industries such as photovoltaics and AI.

Conclusion

The 2025 precious metals market was a grand performance interweaving macro narratives, industry transformations, and market sentiment. It not only made history but also exposed the market's fragility amid frenzy. For investors, it is both an opportunity for wealth appreciation and a vivid lesson in risk management. The road ahead remains full of uncertainty, but it is certain that against the backdrop of global monetary easing, diversified central bank reserves, and normalized geopolitical risks, the value of precious metals as core strategic assets will continue to manifest over the long term. However, as every historical high has witnessed, rational investment, prudent decision-making, and respect for risk remain the only rules to navigate market cycles.

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  1. CONNECT:[ UseTime:0.004817s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.003556s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '42' LIMIT 1 [ RunTime:0.000869s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003598s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003205s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003757s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'setin' AND `subsite_id` = '42' LIMIT 1 [ RunTime:0.000973s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.005612s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 42 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001868s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.005890s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '42' LIMIT 1 [ RunTime:0.001358s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.006304s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 42 AND `name` = 'precious-metals-market-2025-gold-silver-crash' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.002542s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '5604' OR `id` = '5604' ) AND `subsite_id` = 42 LIMIT 1 [ RunTime:0.006619s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004299s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002317s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5604' LIMIT 1 [ RunTime:0.000923s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.003102s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '5604' LIMIT 1 [ RunTime:0.000888s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003558s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003545s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '42' AND `lang` = 'en' AND `document_id` = '5604' [ RunTime:0.010350s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003418s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003776s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002739s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2114' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000962s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '5604' LIMIT 1 [ RunTime:0.001002s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5604' [ RunTime:0.002490s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.005750s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '42' AND `type` = 'article' AND `url` = 'https://www.setin.asia/precious-metals-market-2025-gold-silver-crash' AND `create_time` >= 1786520747 AND ( `visitor_id` = '01a4279a34bd20d6a1d9b03fc36a80a8' OR `session_id` = '7327e06f88e67636df825728fe403770' ) LIMIT 1 [ RunTime:0.001500s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '42' , `uid` = '0' , `visitor_id` = '01a4279a34bd20d6a1d9b03fc36a80a8' , `session_id` = '7327e06f88e67636df825728fe403770' , `type` = 'article' , `target_id` = '5604' , `target_type` = 0 , `category_id` = '2114' , `title` = '2025 Precious Metals Market: Reflections After the Gold Storm' , `url` = 'https://www.setin.asia/precious-metals-market-2025-gold-silver-crash' , `path` = '/precious-metals-market-2025-gold-silver-crash' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.217.19' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1786520807 , `update_time` = 1786520807 [ RunTime:0.007754s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.004739s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '5604' AND `pid` = '0' [ RunTime:0.001202s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 2114 AND `subsite_id` = 42 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 5604) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001728s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 2114 AND `subsite_id` = 42 AND `pid` = '5514' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002070s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '42' AND `lang` = 'en' AND `document_id` = '5514' [ RunTime:0.012823s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 2114 AND `subsite_id` = 42 AND `pid` = '5604' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001999s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 2114 AND `subsite_id` = 42 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=5604) or ( sort = 0 and id > 5604) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001610s ]
  39. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '42' AND `lang` = 'en' AND `document_id` = '5662' [ RunTime:0.010655s ]
  40. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2115' AND `lang` = 'en' LIMIT 1 [ RunTime:0.001257s ]
  41. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2111' AND `lang` = 'en' LIMIT 1 [ RunTime:0.001023s ]
  42. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2110' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000792s ]
  43. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001986s ]
  44. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001360s ]
  45. SELECT * FROM `g3ys_total` WHERE `target_id` = '5604' LIMIT 1 [ RunTime:0.000947s ]
  46. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.003646s ]
  47. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '42' AND `status` = 1 LIMIT 1 [ RunTime:0.001184s ]
  48. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002654s ]
  49. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '42' AND `ad_location_id` = '91' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786520807 ) AND ( `end_time` = 0 OR `end_time` >= 1786520807 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001284s ]
  50. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001898s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 91 AND `subsite_id` = '42' AND `lang` = 'en' [ RunTime:0.000829s ]
  52. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001971s ]
  53. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002168s ]
  54. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` = 5604 AND `status` = 1 [ RunTime:0.000849s ]
  55. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000774s ]
  56. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000696s ]
  57. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '42' AND `status` = 1 LIMIT 1 [ RunTime:0.000866s ]
  58. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '42' AND `ad_location_id` = '93' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786520807 ) AND ( `end_time` = 0 OR `end_time` >= 1786520807 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000907s ]
  59. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 93 AND `subsite_id` = '42' AND `lang` = 'en' [ RunTime:0.000709s ]
  60. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000834s ]
  61. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000774s ]
  62. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000732s ]
  63. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001096s ]
  64. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000732s ]
  65. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001000s ]
  66. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000725s ]
  67. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000741s ]
  68. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 42 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 12 [ RunTime:0.002307s ]
  69. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002092s ]
  70. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (426,424,422,419,418,417,416,415,414,413,412,411) AND `subsite_id` = 42 AND `lang` = 'en' [ RunTime:0.001195s ]
  71. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000768s ]
  72. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 42 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 10 [ RunTime:0.002112s ]
  73. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (426,424,422,419,418,417,416,415,414,413) AND `subsite_id` = 42 AND `lang` = 'en' [ RunTime:0.001206s ]
  74. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2116' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000777s ]
  75. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2117' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000927s ]
  76. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '42' AND `category_id` = '2118' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000803s ]
  77. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000762s ]
  78. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '42' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000727s ]
0.682744s